6/1
HPE × NVIDIA AI Day
Demo Booth | NPI Twin™Profet AI will demonstrate NPI Twin™ at the demo booth, focusing on early NPI risk identification, scenario simulation, and decision support.
COMPUTEX 2026Profet AI Event Series
Turning Manufacturing Know-Howinto AI Operating Capability
At COMPUTEX 2026, AI is moving beyond capability demos and into real enterprise operations. For manufacturers, the challenge is not adding another model or tool. It is making AI understand frontline know-how, connect with existing workflows, and operate under a clear governance framework.
Profet AI will show how Domain Twin™ turns frontline experience, engineering knowledge, and decision logic into governable, reusable,and scalable AI assets.
6/1 HPE Demo6/2–6/5 Booth R01136/5 Breakf[AI]st Breakfast
Event Series
Three touchpoints connecting manufacturing AI from infrastructure to operational deployment
From the HPE × NVIDIA AI Day demo booth and COMPUTEX on-site demos to an executive breakfast roundtable, Profet AI will use different settings to discuss the next phase of manufacturing AI.
6/2–6/5
COMPUTEX On-site Demo
Booth #R0113 | Domain Twin™ · NPI Twin™See Profet AI’s manufacturing AI operations platform in action, and learn how companies can turn AI infrastructure into operational capability they can execute and manage.
6/5
Breakf[AI]st Breakfast
Executive RoundtableA small-format breakfast discussion with senior manufacturing leaders on the next phase of enterprise AI.
Core Themes
From PoC to Operations: Three Bottlenecks Holding Back Manufacturing AI
Models can answer questions, but that does not mean they can operate in a factory. The real bottlenecks are hard-to-retain frontline know-how, NPI decisions scattered across files and meetings, and AI Agents entering workflows without clear permissions and audit trails.
01
Knowledge remains trapped in people’s experience
Engineering judgment, exception handling, and historical cases often live in the heads of experienced staff. When lines, plants, or teams change, know-how is hard to replicate.
02
Decisions get stuck between data and meetings
RFQ and NPI assessments require teams to evaluate feasibility, cost, risk, and timing at the same time, but the evidence often sits across reports, files, and cross-functional discussions.
03
AI execution must be governed
Once AI Agents connect to systems and workflows, companies need to know what they can access, what they can do, and whether every step is traceable and auditable.
Featured Demo
Domain Twin™ as the Control Layer for Manufacturing AIUsing NPI Twin™ to Demonstrate Operational Deployment
Domain Twin™ is Profet AI’s cross-scenario control layer for manufacturing AI. At COMPUTEX, Profet AI will use NPI Twin™ as a representative demo to show how Domain Twin™ brings manufacturing know-how, data context, simulation, AI Agents, governance, and auditability into an executable, manageable, and repeatable factory workflow.
Domain Twin™ Control Center
ManufacturingAI ControlandGovernance Layer
Domain Twin™ sits on top of AI infrastructure and unifies manufacturing data, domain knowledge, model services, workflows, and AI Agents under one governance framework, helping AI applications across scenarios be deployed, tracked, and replicated.
Connect Manufacturing Data Sources
Data Sources
Unify BOM, PLM, MES / ERP, quality test data, supply chain inputs, and document knowledge so decisions are no longer scattered across systems and meetings.
Simulate Risks and Decision Scenarios
Simulation
Use models and scenario simulation to forecast possible outcomes and spot risks before they affect cost, timing, or yield.
Coordinate AI Agents and Expert Workflows
Agent Network
Map Ready-to-Go Agents, such as NPI Twin™, to real workflows and connect cross-functional collaboration with task execution.
Govern, Audit, and Scale
Governance
Use knowledge rules, permissions, and task records to manage AI execution so outcomes are traceable, repeatable, and scalable across scenarios.
Applied Demo | NPI Twin™
Applying the Domain Twin™ Control Layer to NPI / RFQ Decisions
NPI Twin™ is one Ready-to-Go Agent demo built on Domain Twin™. It is not the full scope of Domain Twin™; it uses a concrete NPI / RFQ scenario to show how data integration, scenario simulation, Agent execution, and governance can become a traceable decision flow.
Learn More About NPI Twin™
01
Data Intake
02
Risk Assessment
03
Scenario Simulation
04
Decision Record
COMPUTEX 2026Meet the Profet AI Team
Want to see how Domain Twin™ helps manufacturers turn frontline know-how into governable, reusable AI assets?
Meet the Profet AI team during COMPUTEX.
Breakf[AI]st Breakfast
Agenda
08:50–09:10
Check-in
09:10–09:45
Co-creating a Safer Operating Model for AI
09:45–10:15
Executive Dialogue: What’s Next for Enterprise AI in the Agent Era